EDA

Dataset statistics

Number of variables	18
Number of observations	181691
Missing cells	234487
Missing cells (%)	7.2%
Duplicate rows	225
Duplicate rows (%)	0.1%
Total size in memory	174.2 MiB
Average record size in memory	1005.5 B

Variable types

Numeric	7
Categorical	11

Warnings

Dataset has 225 (0.1%) duplicate rows	Duplicates
`Country` has a high cardinality: 205 distinct values	High cardinality
`state` has a high cardinality: 2854 distinct values	High cardinality
`city` has a high cardinality: 36674 distinct values	High cardinality
`Target` has a high cardinality: 86006 distinct values	High cardinality
`Summary` has a high cardinality: 112492 distinct values	High cardinality
`Group` has a high cardinality: 3537 distinct values	High cardinality
`Motive` has a high cardinality: 14490 distinct values	High cardinality
`Killed` is highly correlated with `Wounded`	High correlation
`Wounded` is highly correlated with `Killed`	High correlation
`latitude` is highly correlated with `Region` and 1 other fields	High correlation
`AttackType` is highly correlated with `Weapon_type`	High correlation
`Region` is highly correlated with `latitude` and 1 other fields	High correlation
`Wounded` is highly correlated with `Killed`	High correlation
`Weapon_type` is highly correlated with `AttackType`	High correlation
`Year` is highly correlated with `latitude` and 1 other fields	High correlation
`Killed` is highly correlated with `Wounded`	High correlation
`Weapon_type` is highly correlated with `AttackType`	High correlation
`AttackType` is highly correlated with `Weapon_type`	High correlation
`latitude` has 4556 (2.5%) missing values	Missing
`longitude` has 4557 (2.5%) missing values	Missing
`Killed` has 10313 (5.7%) missing values	Missing
`Wounded` has 16311 (9.0%) missing values	Missing
`Summary` has 66129 (36.4%) missing values	Missing
`Motive` has 131130 (72.2%) missing values	Missing
`longitude` is highly skewed (γ1 = -420.8728522)	Skewed
`Killed` is highly skewed (γ1 = 54.22986883)	Skewed
`Wounded` is highly skewed (γ1 = 174.7020782)	Skewed
`Summary` is uniformly distributed	Uniform
`Killed` has 88149 (48.5%) zeros	Zeros
`Wounded` has 103275 (56.8%) zeros	Zeros

Reproduction

Analysis started	2021-08-08 03:29:05.726380
Analysis finished	2021-08-08 03:31:17.696398
Duration	2 minutes and 11.97 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Year
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	47
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2002.638997

Minimum	1970
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	1970
5-th percentile	1979
Q1	1991
median	2009
Q3	2014
95-th percentile	2017
Maximum	2017
Range	47
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	13.25943047
Coefficient of variation (CV)	0.006620978862
Kurtosis	-1.043063969
Mean	2002.638997
Median Absolute Deviation (MAD)	7
Skewness	-0.6190673454
Sum	363861482
Variance	175.8124963
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
2014	16903	9.3%
2015	14965	8.2%
2016	13587	7.5%
2013	12036	6.6%
2017	10900	6.0%
2012	8522	4.7%
2011	5076	2.8%
1992	5071	2.8%
2010	4826	2.7%
2008	4805	2.6%
Other values (37)	85000	46.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1970	651	0.4%
1971	471	0.3%
1972	568	0.3%
1973	473	0.3%
1974	581	0.3%
1975	740	0.4%
1976	923	0.5%
1977	1319	0.7%
1978	1526	0.8%
1979	2662	1.5%

Value	Count	Frequency (%)
2017	10900	6.0%
2016	13587	7.5%
2015	14965	8.2%
2014	16903	9.3%
2013	12036	6.6%
2012	8522	4.7%
2011	5076	2.8%
2010	4826	2.7%
2009	4721	2.6%
2008	4805	2.6%

Month
Real number (ℝ_≥0)

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.46727686

Minimum	0
Maximum	12
Zeros	20
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	12
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.388303394
Coefficient of variation (CV)	0.5239150059
Kurtosis	-1.171516408
Mean	6.46727686
Median Absolute Deviation (MAD)	3
Skewness	0.006750446764
Sum	1175046
Variance	11.48059989
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
5	16875	9.3%
7	16268	9.0%
8	15800	8.7%
10	15563	8.6%
6	15359	8.5%
3	15257	8.4%
4	15152	8.3%
1	14936	8.2%
11	14906	8.2%
9	14180	7.8%
Other values (3)	27395	15.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20	< 0.1%
1	14936	8.2%
2	13879	7.6%
3	15257	8.4%
4	15152	8.3%
5	16875	9.3%
6	15359	8.5%
7	16268	9.0%
8	15800	8.7%
9	14180	7.8%

Value	Count	Frequency (%)
12	13496	7.4%
11	14906	8.2%
10	15563	8.6%
9	14180	7.8%
8	15800	8.7%
7	16268	9.0%
6	15359	8.5%
5	16875	9.3%
4	15152	8.3%
3	15257	8.4%

Day
Real number (ℝ_≥0)

Distinct	32
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.5056442

Minimum	0
Maximum	31
Zeros	891
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	31
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.814044752
Coefficient of variation (CV)	0.5684410554
Kurtosis	-1.181855089
Mean	15.5056442
Median Absolute Deviation (MAD)	8
Skewness	0.01906533556
Sum	2817236
Variance	77.6873849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
15	6500	3.6%
1	6344	3.5%
4	6153	3.4%
16	6112	3.4%
10	6064	3.3%
9	6057	3.3%
13	6043	3.3%
14	6028	3.3%
28	6027	3.3%
12	6012	3.3%
Other values (22)	120351	66.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	891	0.5%
1	6344	3.5%
2	5954	3.3%
3	6011	3.3%
4	6153	3.4%
5	5844	3.2%
6	5781	3.2%
7	5997	3.3%
8	5859	3.2%
9	6057	3.3%

Value	Count	Frequency (%)
31	3095	1.7%
30	5046	2.8%
29	5507	3.0%
28	6027	3.3%
27	5937	3.3%
26	5823	3.2%
25	5875	3.2%
24	5752	3.2%
23	5782	3.2%
22	5799	3.2%

Country
Categorical

HIGH CARDINALITY

Distinct	205
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.2 MiB

Iraq	24636
Pakistan	14368
Afghanistan	12731
India	11960
Colombia	8306
Other values (200)	109690

Length

Max length	32
Median length	7
Mean length	7.655403955
Min length	4

Characters and Unicode

Total characters	1390918
Distinct characters	56
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	< 0.1%

Sample

1st row	Dominican Republic
2nd row	Mexico
3rd row	Philippines
4th row	Greece
5th row	Japan

Common Values

Value	Count	Frequency (%)
Iraq	24636	13.6%
Pakistan	14368	7.9%
Afghanistan	12731	7.0%
India	11960	6.6%
Colombia	8306	4.6%
Philippines	6908	3.8%
Peru	6096	3.4%
El Salvador	5320	2.9%
United Kingdom	5235	2.9%
Turkey	4292	2.4%
Other values (195)	81839	45.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
iraq	24636	11.4%
pakistan	14368	6.7%
afghanistan	12731	5.9%
india	11960	5.5%
colombia	8306	3.9%
united	8093	3.8%
philippines	6908	3.2%
peru	6096	2.8%
el	5320	2.5%
salvador	5320	2.5%
Other values (222)	111782	51.9%

Most occurring characters

Value	Count	Frequency (%)
a	213405	15.3%
i	136887	9.8%
n	116940	8.4%
e	77088	5.5%
r	76385	5.5%
t	58869	4.2%
l	52927	3.8%
s	51007	3.7%
o	46690	3.4%
d	44148	3.2%
Other values (46)	516572	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1142771	82.2%
Uppercase Letter	212974	15.3%
Space Separator	33829	2.4%
Open Punctuation	579	< 0.1%
Close Punctuation	579	< 0.1%
Dash Punctuation	179	< 0.1%
Other Punctuation	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	213405	18.7%
i	136887	12.0%
n	116940	10.2%
e	77088	6.7%
r	76385	6.7%
t	58869	5.2%
l	52927	4.6%
s	51007	4.5%
o	46690	4.1%
d	44148	3.9%
Other values (16)	268425	23.5%

Uppercase Letter

Value	Count	Frequency (%)
I	42180	19.8%
P	27888	13.1%
S	27532	12.9%
A	19864	9.3%
C	13238	6.2%
U	10377	4.9%
T	8651	4.1%
E	8307	3.9%
L	7982	3.7%
G	7911	3.7%
Other values (14)	39044	18.3%

Other Punctuation

Value	Count	Frequency (%)
'	4	57.1%
.	3	42.9%

Space Separator

Value	Count	Frequency (%)
	33829	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	579	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	579	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	179	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1355745	97.5%
Common	35173	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	213405	15.7%
i	136887	10.1%
n	116940	8.6%
e	77088	5.7%
r	76385	5.6%
t	58869	4.3%
l	52927	3.9%
s	51007	3.8%
o	46690	3.4%
d	44148	3.3%
Other values (40)	481399	35.5%

Common

Value	Count	Frequency (%)
	33829	96.2%
(	579	1.6%
)	579	1.6%
-	179	0.5%
'	4	< 0.1%
.	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1390918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	213405	15.3%
i	136887	9.8%
n	116940	8.4%
e	77088	5.5%
r	76385	5.5%
t	58869	4.2%
l	52927	3.8%
s	51007	3.7%
o	46690	3.4%
d	44148	3.2%
Other values (46)	516572	37.1%

state
Categorical

HIGH CARDINALITY

Distinct	2854
Distinct (%)	1.6%
Missing	421
Missing (%)	0.2%
Memory size	11.5 MiB

Baghdad	7645
Northern Ireland	4498
Unknown	4290
Balochistan	3710
Saladin	3411
Other values (2849)	157716

Length

Max length	47
Median length	7
Mean length	9.257687428
Min length	2

Characters and Unicode

Total characters	1678141
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	916 ?
Unique (%)	0.5%

Sample

1st row	Federal
2nd row	Tarlac
3rd row	Attica
4th row	Fukouka
5th row	Illinois

Common Values

Value	Count	Frequency (%)
Baghdad	7645	4.2%
Northern Ireland	4498	2.5%
Unknown	4290	2.4%
Balochistan	3710	2.0%
Saladin	3411	1.9%
Al Anbar	3299	1.8%
Nineveh	3241	1.8%
Sindh	3206	1.8%
Khyber Pakhtunkhwa	3084	1.7%
Diyala	3041	1.7%
Other values (2844)	141845	78.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
baghdad	7645	3.1%
northern	5772	2.4%
ireland	4499	1.8%
al	4352	1.8%
unknown	4291	1.8%
north	3775	1.5%
balochistan	3741	1.5%
saladin	3411	1.4%
anbar	3299	1.4%
nineveh	3242	1.3%
Other values (2550)	199705	81.9%

Most occurring characters

Value	Count	Frequency (%)
a	247826	14.8%
n	130006	7.7%
r	110710	6.6%
i	103472	6.2%
e	99692	5.9%
t	81482	4.9%
o	78649	4.7%
h	72361	4.3%
l	68100	4.1%
	62470	3.7%
Other values (59)	623373	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1362322	81.2%
Uppercase Letter	242600	14.5%
Space Separator	62470	3.7%
Dash Punctuation	4551	0.3%
Open Punctuation	2612	0.2%
Close Punctuation	2612	0.2%
Other Symbol	485	< 0.1%
Decimal Number	247	< 0.1%
Other Punctuation	242	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	31020	12.8%
A	27191	11.2%
S	26253	10.8%
N	20783	8.6%
K	14977	6.2%
C	14945	6.2%
P	13561	5.6%
M	12213	5.0%
D	9321	3.8%
L	8493	3.5%
Other values (16)	63843	26.3%

Lowercase Letter

Value	Count	Frequency (%)
a	247826	18.2%
n	130006	9.5%
r	110710	8.1%
i	103472	7.6%
e	99692	7.3%
t	81482	6.0%
o	78649	5.8%
h	72361	5.3%
l	68100	5.0%
d	61976	4.5%
Other values (16)	308048	22.6%

Decimal Number

Value	Count	Frequency (%)
3	64	25.9%
1	46	18.6%
2	36	14.6%
5	33	13.4%
4	29	11.7%
7	24	9.7%
6	15	6.1%

Other Punctuation

Value	Count	Frequency (%)
'	214	88.4%
.	13	5.4%
,	6	2.5%
&	5	2.1%
/	4	1.7%

Space Separator

Value	Count	Frequency (%)
	62470	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4551	100.0%

Other Symbol

Value	Count	Frequency (%)
�	485	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2612	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2612	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1604922	95.6%
Common	73219	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	247826	15.4%
n	130006	8.1%
r	110710	6.9%
i	103472	6.4%
e	99692	6.2%
t	81482	5.1%
o	78649	4.9%
h	72361	4.5%
l	68100	4.2%
d	61976	3.9%
Other values (42)	550648	34.3%

Common

Value	Count	Frequency (%)
	62470	85.3%
-	4551	6.2%
(	2612	3.6%
)	2612	3.6%
�	485	0.7%
'	214	0.3%
3	64	0.1%
1	46	0.1%
2	36	< 0.1%
5	33	< 0.1%
Other values (7)	96	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1677656	> 99.9%
Specials	485	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	247826	14.8%
n	130006	7.7%
r	110710	6.6%
i	103472	6.2%
e	99692	5.9%
t	81482	4.9%
o	78649	4.7%
h	72361	4.3%
l	68100	4.1%
	62470	3.7%
Other values (58)	622888	37.1%

Specials

Value	Count	Frequency (%)
�	485	100.0%

Region
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 MiB

Middle East & North Africa	50474
South Asia	44974
South America	18978
Sub-Saharan Africa	17550
Western Europe	16639
Other values (7)	33076

Length

Max length	27
Median length	14
Mean length	17.32910271
Min length	9

Characters and Unicode

Total characters	3148542
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Central America & Caribbean
2nd row	North America
3rd row	Southeast Asia
4th row	Western Europe
5th row	East Asia

Common Values

Value	Count	Frequency (%)
Middle East & North Africa	50474	27.8%
South Asia	44974	24.8%
South America	18978	10.4%
Sub-Saharan Africa	17550	9.7%
Western Europe	16639	9.2%
Southeast Asia	12485	6.9%
Central America & Caribbean	10344	5.7%
Eastern Europe	5144	2.8%
North America	3456	1.9%
East Asia	802	0.4%
Other values (2)	845	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
africa	68024	12.7%
south	63952	11.9%
	61100	11.4%
asia	58824	11.0%
north	53930	10.1%
east	51276	9.6%
middle	50474	9.4%
america	32778	6.1%
europe	21783	4.1%
sub-saharan	17550	3.3%
Other values (7)	56083	10.5%

Most occurring characters

Value	Count	Frequency (%)
	354083	11.2%
a	314186	10.0%
r	237381	7.5%
t	227100	7.2%
i	221008	7.0%
e	177475	5.6%
A	159908	5.1%
o	152150	4.8%
h	147917	4.7%
s	144932	4.6%
Other values (18)	1012402	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2223585	70.6%
Uppercase Letter	492224	15.6%
Space Separator	354083	11.2%
Other Punctuation	61100	1.9%
Dash Punctuation	17550	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	314186	14.1%
r	237381	10.7%
t	227100	10.2%
i	221008	9.9%
e	177475	8.0%
o	152150	6.8%
h	147917	6.7%
s	144932	6.5%
u	116052	5.2%
c	101084	4.5%
Other values (7)	384300	17.3%

Uppercase Letter

Value	Count	Frequency (%)
A	159908	32.5%
S	111537	22.7%
E	78203	15.9%
N	53930	11.0%
M	50474	10.3%
C	21251	4.3%
W	16639	3.4%
O	282	0.1%

Space Separator

Value	Count	Frequency (%)
	354083	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	61100	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	17550	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2715809	86.3%
Common	432733	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	314186	11.6%
r	237381	8.7%
t	227100	8.4%
i	221008	8.1%
e	177475	6.5%
A	159908	5.9%
o	152150	5.6%
h	147917	5.4%
s	144932	5.3%
u	116052	4.3%
Other values (15)	817700	30.1%

Common

Value	Count	Frequency (%)
	354083	81.8%
&	61100	14.1%
-	17550	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3148542	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	354083	11.2%
a	314186	10.0%
r	237381	7.5%
t	227100	7.2%
i	221008	7.0%
e	177475	5.6%
A	159908	5.1%
o	152150	4.8%
h	147917	4.7%
s	144932	4.6%
Other values (18)	1012402	32.2%

city
Categorical

HIGH CARDINALITY

Distinct	36674
Distinct (%)	20.2%
Missing	434
Missing (%)	0.2%
Memory size	11.3 MiB

Unknown	9775
Baghdad	7589
Karachi	2652
Lima	2359
Mosul	2265
Other values (36669)	156617

Length

Max length	65
Median length	7
Mean length	8.516923484
Min length	2

Characters and Unicode

Total characters	1543752
Distinct characters	72
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24525 ?
Unique (%)	13.5%

Sample

1st row	Santo Domingo
2nd row	Mexico city
3rd row	Unknown
4th row	Athens
5th row	Fukouka

Common Values

Value	Count	Frequency (%)
Unknown	9775	5.4%
Baghdad	7589	4.2%
Karachi	2652	1.5%
Lima	2359	1.3%
Mosul	2265	1.2%
Belfast	2171	1.2%
Santiago	1621	0.9%
Mogadishu	1581	0.9%
San Salvador	1558	0.9%
Istanbul	1048	0.6%
Other values (36664)	148638	81.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
district	13625	5.9%
unknown	9822	4.3%
baghdad	7590	3.3%
san	3810	1.7%
karachi	2660	1.2%
lima	2382	1.0%
mosul	2284	1.0%
city	2230	1.0%
belfast	2181	0.9%
santiago	1716	0.7%
Other values (34014)	181598	79.0%

Most occurring characters

Value	Count	Frequency (%)
a	240843	15.6%
i	116278	7.5%
n	101715	6.6%
r	87518	5.7%
o	76361	4.9%
t	71004	4.6%
e	62716	4.1%
d	61414	4.0%
h	59400	3.8%
l	58736	3.8%
Other values (62)	607767	39.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1273364	82.5%
Uppercase Letter	216832	14.0%
Space Separator	48659	3.2%
Dash Punctuation	3711	0.2%
Open Punctuation	362	< 0.1%
Close Punctuation	362	< 0.1%
Other Punctuation	337	< 0.1%
Other Symbol	69	< 0.1%
Decimal Number	54	< 0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	28895	13.3%
S	23044	10.6%
M	19480	9.0%
K	17108	7.9%
A	15983	7.4%
C	11462	5.3%
U	11015	5.1%
T	10074	4.6%
P	9393	4.3%
D	9242	4.3%
Other values (16)	61136	28.2%

Lowercase Letter

Value	Count	Frequency (%)
a	240843	18.9%
i	116278	9.1%
n	101715	8.0%
r	87518	6.9%
o	76361	6.0%
t	71004	5.6%
e	62716	4.9%
d	61414	4.8%
h	59400	4.7%
l	58736	4.6%
Other values (16)	337379	26.5%

Other Punctuation

Value	Count	Frequency (%)
'	170	50.4%
.	96	28.5%
,	29	8.6%
*	20	5.9%
/	20	5.9%
&	1	0.3%
?	1	0.3%

Decimal Number

Value	Count	Frequency (%)
0	19	35.2%
5	15	27.8%
2	10	18.5%
6	3	5.6%
4	3	5.6%
1	2	3.7%
3	2	3.7%

Space Separator

Value	Count	Frequency (%)
	48659	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3711	100.0%

Other Symbol

Value	Count	Frequency (%)
�	69	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	362	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	362	100.0%

Math Symbol

Value	Count	Frequency (%)
=	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1490196	96.5%
Common	53556	3.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	240843	16.2%
i	116278	7.8%
n	101715	6.8%
r	87518	5.9%
o	76361	5.1%
t	71004	4.8%
e	62716	4.2%
d	61414	4.1%
h	59400	4.0%
l	58736	3.9%
Other values (42)	554211	37.2%

Common

Value	Count	Frequency (%)
	48659	90.9%
-	3711	6.9%
(	362	0.7%
)	362	0.7%
'	170	0.3%
.	96	0.2%
�	69	0.1%
,	29	0.1%
*	20	< 0.1%
/	20	< 0.1%
Other values (10)	58	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1543683	> 99.9%
Specials	69	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	240843	15.6%
i	116278	7.5%
n	101715	6.6%
r	87518	5.7%
o	76361	4.9%
t	71004	4.6%
e	62716	4.1%
d	61414	4.0%
h	59400	3.8%
l	58736	3.8%
Other values (61)	607698	39.4%

Specials

Value	Count	Frequency (%)
�	69	100.0%

latitude
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	48322
Distinct (%)	27.3%
Missing	4556
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	23.49834296

Minimum	-53.154613
Maximum	74.633553
Zeros	0
Zeros (%)	0.0%
Negative	15782
Negative (%)	8.7%
Memory size	1.4 MiB

Quantile statistics

Minimum	-53.154613
5-th percentile	-12.068306
Q1	11.510046
median	31.467463
Q3	34.685087
95-th percentile	48.694492
Maximum	74.633553
Range	127.788166
Interquartile range (IQR)	23.175041

Descriptive statistics

Standard deviation	18.56924242
Coefficient of variation (CV)	0.79023625
Kurtosis	0.8606639838
Mean	23.49834296
Median Absolute Deviation (MAD)	9.1532
Skewness	-0.9637382662
Sum	4162378.98
Variance	344.8167641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33.303566	7521	4.1%
24.891115	2686	1.5%
-11.967368	2401	1.3%
36.354145	2247	1.2%
54.607712	2189	1.2%
-33.366238	1562	0.9%
13.69288	1559	0.9%
2.059819	1536	0.8%
41.106178	1052	0.6%
37.99749	1017	0.6%
Other values (48312)	153365	84.4%
(Missing)	4556	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-53.154613	5	< 0.1%
-51.692214	1	< 0.1%
-45.867889	5	< 0.1%
-45.571112	2	< 0.1%
-45.403544	1	< 0.1%
-43.532054	4	< 0.1%
-42.884049	1	< 0.1%
-42.250458	1	< 0.1%
-41.472903	2	< 0.1%
-41.286545	1	< 0.1%

Value	Count	Frequency (%)
74.633553	1	< 0.1%
65.825119	1	< 0.1%
65.683368	1	< 0.1%
65.012089	1	< 0.1%
64.837778	1	< 0.1%
64.624471	1	< 0.1%
64.55	1	< 0.1%
64.398307	1	< 0.1%
64.135338	2	< 0.1%
64.075055	1	< 0.1%

longitude
Real number (ℝ)

MISSING
SKEWED

Distinct	48039
Distinct (%)	27.1%
Missing	4557
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	-458.695653

Minimum	-86185896
Maximum	179.366667
Zeros	0
Zeros (%)	0.0%
Negative	40531
Negative (%)	22.3%
Memory size	1.4 MiB

Quantile statistics

Minimum	-86185896
5-th percentile	-87.2167
Q1	4.54563975
median	43.246506
Q3	68.710327
95-th percentile	101.797961
Maximum	179.366667
Range	86186075.37
Interquartile range (IQR)	64.16468725

Descriptive statistics

Standard deviation	204778.9886
Coefficient of variation (CV)	-446.4376047
Kurtosis	177133.9718
Mean	-458.695653
Median Absolute Deviation (MAD)	28.290924
Skewness	-420.8728522
Sum	-81250595.8
Variance	4.193443418 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44.371773	7521	4.1%
67.143311	2686	1.5%
-76.978462	2401	1.3%
43.14357	2247	1.2%
-5.95621	2189	1.2%
-70.505302	1562	0.9%
-89.199161	1559	0.9%
45.326115	1536	0.8%
28.689863	1052	0.6%
23.762728	1017	0.6%
Other values (48029)	153364	84.4%
(Missing)	4557	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-86185896	1	< 0.1%
-176.176447	1	< 0.1%
-157.858333	1	< 0.1%
-157.818968	2	< 0.1%
-157.739444	1	< 0.1%
-149.569504	3	< 0.1%
-147.716389	1	< 0.1%
-124.224996	1	< 0.1%
-124.21789	1	< 0.1%
-124.163673	2	< 0.1%

Value	Count	Frequency (%)
179.366667	1	< 0.1%
179.33811	1	< 0.1%
178.4419	8	< 0.1%
178.438979	1	< 0.1%
177.849833	2	< 0.1%
177.452778	4	< 0.1%
176.986756	1	< 0.1%
175.070783	1	< 0.1%
174.776282	1	< 0.1%
174.776236	10	< 0.1%

AttackType
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.8 MiB

Bombing/Explosion	88255
Armed Assault	42669
Assassination	19312
Hostage Taking (Kidnapping)	11158
Facility/Infrastructure Attack	10356
Other values (4)	9941

Length

Max length	35
Median length	17
Mean length	16.64808383
Min length	7

Characters and Unicode

Total characters	3024807
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Assassination
2nd row	Hostage Taking (Kidnapping)
3rd row	Assassination
4th row	Bombing/Explosion
5th row	Facility/Infrastructure Attack

Common Values

Value	Count	Frequency (%)
Bombing/Explosion	88255	48.6%
Armed Assault	42669	23.5%
Assassination	19312	10.6%
Hostage Taking (Kidnapping)	11158	6.1%
Facility/Infrastructure Attack	10356	5.7%
Unknown	7276	4.0%
Unarmed Assault	1015	0.6%
Hostage Taking (Barricade Incident)	991	0.5%
Hijacking	659	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bombing/explosion	88255	33.8%
assault	43684	16.7%
armed	42669	16.3%
assassination	19312	7.4%
hostage	12149	4.7%
taking	12149	4.7%
kidnapping	11158	4.3%
facility/infrastructure	10356	4.0%
attack	10356	4.0%
unknown	7276	2.8%
Other values (4)	3656	1.4%

Most occurring characters

Value	Count	Frequency (%)
o	303502	10.0%
n	285439	9.4%
s	275376	9.1%
i	273611	9.0%
a	152488	5.0%
l	142295	4.7%
m	131939	4.4%
t	127916	4.2%
g	124370	4.1%
A	116021	3.8%
Other values (25)	1091850	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2462938	81.4%
Uppercase Letter	359631	11.9%
Other Punctuation	98611	3.3%
Space Separator	79329	2.6%
Open Punctuation	12149	0.4%
Close Punctuation	12149	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	303502	12.3%
n	285439	11.6%
s	275376	11.2%
i	273611	11.1%
a	152488	6.2%
l	142295	5.8%
m	131939	5.4%
t	127916	5.2%
g	124370	5.0%
p	110571	4.5%
Other values (12)	535431	21.7%

Uppercase Letter

Value	Count	Frequency (%)
A	116021	32.3%
B	89246	24.8%
E	88255	24.5%
H	12808	3.6%
T	12149	3.4%
I	11347	3.2%
K	11158	3.1%
F	10356	2.9%
U	8291	2.3%

Space Separator

Value	Count	Frequency (%)
	79329	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12149	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12149	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	98611	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2822569	93.3%
Common	202238	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	303502	10.8%
n	285439	10.1%
s	275376	9.8%
i	273611	9.7%
a	152488	5.4%
l	142295	5.0%
m	131939	4.7%
t	127916	4.5%
g	124370	4.4%
A	116021	4.1%
Other values (21)	889612	31.5%

Common

Value	Count	Frequency (%)
/	98611	48.8%
	79329	39.2%
(	12149	6.0%
)	12149	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3024807	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	303502	10.0%
n	285439	9.4%
s	275376	9.1%
i	273611	9.0%
a	152488	5.0%
l	142295	4.7%
m	131939	4.4%
t	127916	4.2%
g	124370	4.1%
A	116021	3.8%
Other values (25)	1091850	36.1%

Killed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	205
Distinct (%)	0.1%
Missing	10313
Missing (%)	5.7%
Infinite	0
Infinite (%)	0.0%
Mean	2.403272299

Minimum	0
Maximum	1570
Zeros	88149
Zeros (%)	48.5%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	10
Maximum	1570
Range	1570
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	11.54574056
Coefficient of variation (CV)	4.804174944
Kurtosis	5578.043667
Mean	2.403272299
Median Absolute Deviation (MAD)	0
Skewness	54.22986883
Sum	411868
Variance	133.3041251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88149	48.5%
1	36576	20.1%
2	14147	7.8%
3	7738	4.3%
4	4961	2.7%
5	3565	2.0%
6	2552	1.4%
7	1960	1.1%
8	1495	0.8%
10	1192	0.7%
Other values (195)	9043	5.0%
(Missing)	10313	5.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	88149	48.5%
1	36576	20.1%
2	14147	7.8%
3	7738	4.3%
4	4961	2.7%
5	3565	2.0%
6	2552	1.4%
7	1960	1.1%
8	1495	0.8%
9	1054	0.6%

Value	Count	Frequency (%)
1570	1	< 0.1%
1384	1	< 0.1%
1383	1	< 0.1%
1180	1	< 0.1%
953	1	< 0.1%
670	1	< 0.1%
588	1	< 0.1%
518	1	< 0.1%
517	1	< 0.1%
433	1	< 0.1%

Wounded
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	238
Distinct (%)	0.1%
Missing	16311
Missing (%)	9.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1676684

Minimum	0
Maximum	8191
Zeros	103275
Zeros (%)	56.8%
Negative	0
Negative (%)	0.0%
Memory size	1.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	13
Maximum	8191
Range	8191
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	35.94939181
Coefficient of variation (CV)	11.34884946
Kurtosis	36809.9728
Mean	3.1676684
Median Absolute Deviation (MAD)	0
Skewness	174.7020782
Sum	523869
Variance	1292.358771
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	103275	56.8%
1	16033	8.8%
2	10219	5.6%
3	7303	4.0%
4	4880	2.7%
5	3820	2.1%
6	2856	1.6%
7	2435	1.3%
8	1821	1.0%
10	1379	0.8%
Other values (228)	11359	6.3%
(Missing)	16311	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	103275	56.8%
1	16033	8.8%
2	10219	5.6%
3	7303	4.0%
4	4880	2.7%
5	3820	2.1%
6	2856	1.6%
7	2435	1.3%
8	1821	1.0%
8.5	2	< 0.1%

Value	Count	Frequency (%)
8191	1	< 0.1%
8190	1	< 0.1%
5500	1	< 0.1%
4000	1	< 0.1%
1500	1	< 0.1%
1272	1	< 0.1%
1001	1	< 0.1%
851	1	< 0.1%
817	1	< 0.1%
800	1	< 0.1%

Target
Categorical

HIGH CARDINALITY

Distinct	86006
Distinct (%)	47.5%
Missing	636
Missing (%)	0.4%
Memory size	13.6 MiB

Civilians	6461
Unknown	5918
Soldiers	3157
Patrol	2942
Checkpoint	2905
Other values (86001)	159672

Length

Max length	343
Median length	15
Mean length	21.25532573
Min length	1

Characters and Unicode

Total characters	3848383
Distinct characters	90
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	78891 ?
Unique (%)	43.6%

Sample

1st row	Julio Guzman
2nd row	Nadine Chaval, daughter
3rd row	Employee
4th row	U.S. Embassy
5th row	U.S. Consulate

Common Values

Value	Count	Frequency (%)
Civilians	6461	3.6%
Unknown	5918	3.3%
Soldiers	3157	1.7%
Patrol	2942	1.6%
Checkpoint	2905	1.6%
Vehicle	2785	1.5%
Officers	1787	1.0%
Village	1679	0.9%
Military Unit	1533	0.8%
Bus	1335	0.7%
Other values (85996)	150553	82.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	17732	3.1%
the	15786	2.8%
in	14131	2.5%
a	12130	2.1%
civilians	10528	1.8%
police	8728	1.5%
unknown	6316	1.1%
vehicle	6170	1.1%
patrol	5187	0.9%
was	4963	0.9%
Other values (54887)	468812	82.2%

Most occurring characters

Value	Count	Frequency (%)
	389816	10.1%
e	317168	8.2%
a	313650	8.2%
i	311155	8.1%
n	238188	6.2%
o	228694	5.9%
r	221911	5.8%
t	202474	5.3%
l	169749	4.4%
s	158155	4.1%
Other values (80)	1297423	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2976700	77.3%
Uppercase Letter	395471	10.3%
Space Separator	389816	10.1%
Other Punctuation	54815	1.4%
Decimal Number	12995	0.3%
Dash Punctuation	8152	0.2%
Open Punctuation	4991	0.1%
Close Punctuation	4939	0.1%
Other Symbol	410	< 0.1%
Math Symbol	90	< 0.1%
Other values (2)	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	317168	10.7%
a	313650	10.5%
i	311155	10.5%
n	238188	8.0%
o	228694	7.7%
r	221911	7.5%
t	202474	6.8%
l	169749	5.7%
s	158155	5.3%
c	111765	3.8%
Other values (17)	703791	23.6%

Uppercase Letter

Value	Count	Frequency (%)
C	48705	12.3%
S	38415	9.7%
P	35367	8.9%
A	35079	8.9%
M	30714	7.8%
B	21665	5.5%
T	21455	5.4%
H	15067	3.8%
R	14885	3.8%
U	14619	3.7%
Other values (16)	119500	30.2%

Other Punctuation

Value	Count	Frequency (%)
,	22448	41.0%
:	13690	25.0%
.	12017	21.9%
'	3019	5.5%
*	1639	3.0%
/	1238	2.3%
;	228	0.4%
"	227	0.4%
&	217	0.4%
#	50	0.1%
Other values (4)	42	0.1%

Decimal Number

Value	Count	Frequency (%)
2	2449	18.8%
1	2007	15.4%
3	1797	13.8%
4	1367	10.5%
5	1237	9.5%
0	1117	8.6%
6	902	6.9%
7	847	6.5%
8	656	5.0%
9	616	4.7%

Open Punctuation

Value	Count	Frequency (%)
(	4976	99.7%
[	14	0.3%
{	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	84	93.3%
=	5	5.6%
>	1	1.1%

Close Punctuation

Value	Count	Frequency (%)
)	4925	99.7%
]	14	0.3%

Space Separator

Value	Count	Frequency (%)
	389816	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8152	100.0%

Other Symbol

Value	Count	Frequency (%)
�	410	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	3	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3372171	87.6%
Common	476212	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	317168	9.4%
a	313650	9.3%
i	311155	9.2%
n	238188	7.1%
o	228694	6.8%
r	221911	6.6%
t	202474	6.0%
l	169749	5.0%
s	158155	4.7%
c	111765	3.3%
Other values (43)	1099262	32.6%

Common

Value	Count	Frequency (%)
	389816	81.9%
,	22448	4.7%
:	13690	2.9%
.	12017	2.5%
-	8152	1.7%
(	4976	1.0%
)	4925	1.0%
'	3019	0.6%
2	2449	0.5%
1	2007	0.4%
Other values (27)	12713	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3847971	> 99.9%
Specials	410	< 0.1%
Latin 1 Sup	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	389816	10.1%
e	317168	8.2%
a	313650	8.2%
i	311155	8.1%
n	238188	6.2%
o	228694	5.9%
r	221911	5.8%
t	202474	5.3%
l	169749	4.4%
s	158155	4.1%
Other values (78)	1297011	33.7%

Specials

Value	Count	Frequency (%)
�	410	100.0%

Latin 1 Sup

Value	Count	Frequency (%)
é	2	100.0%

Summary
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	112492
Distinct (%)	97.3%
Missing	66129
Missing (%)	36.4%
Memory size	43.4 MiB

09/00/2016: Sometime between September 18, 2016 and September 24, 2016, assailants detonated an explosive device at a civilian house in Dawr, Saladin, Iraq. There were no reported casualties resulting from the blast. No group claimed responsibility for the incident; however, sources attributed the attack to the Islamic State of Iraq and the Levant (ISIL).	100
12/01/2016: Assailants detonated explosive devices that destroyed an electricity transmission tower in Albu Bali, Al Anbar, Iraq. This was one of 80 similar attacks targeting towers that resulted in the death of two military engineering team members. No group claimed responsibility for the incidents.	80
05/29/2016: Security forces discovered and defused an explosives-rigged house in Sejar, Al Anbar, Iraq. No group claimed responsibility for the incident.	50
07/22/2016: Security forces discovered and defused an explosives-rigged house in Saqlawiyah, Al Anbar, Iraq. No group claimed responsibility for the incident.	36
01/11/2016: Assailants set fire to a shop in Muqdadiyah, Diyala governorate, Iraq. There were no reported casualties in the incident. This was one of 36 shops set alight and one of 51 attacks in and around Muqdadiyah on the same day. No group claimed responsibility; however, sources attributed the incidents to Asa'ib Ahl al-Haqq and the Badr Brigades.	36
Other values (112487)	115260

Length

Max length	2431
Median length	277
Mean length	298.6299822
Min length	58

Characters and Unicode

Total characters	34510278
Distinct characters	90
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	111316 ?
Unique (%)	96.3%

Sample

1st row	1/1/1970: Unknown African American assailants fired several bullets at police headquarters in Cairo, Illinois, United States. There were no casualties, however, one bullet narrowly missed several police officers. This attack took place during heightened racial tensions, including a Black boycott of White-owned businesses, in Cairo Illinois.
2nd row	1/2/1970: Unknown perpetrators detonated explosives at the Pacific Gas & Electric Company Edes substation in Oakland, California, United States. Three transformers were damaged costing an estimated $20,000 to $25,000. There were no casualties.
3rd row	1/2/1970: Karl Armstrong, a member of the New Years Gang, threw a firebomb at R.O.T.C. offices located within the Old Red Gym at the University of Wisconsin in Madison, Wisconsin, United States. There were no casualties but the fire caused around $60,000 in damages to the building.
4th row	1/3/1970: Karl Armstrong, a member of the New Years Gang, broke into the University of Wisconsin's Primate Lab and set a fire on the first floor of the building. Armstrong intended to set fire to the Madison, Wisconsin, United States, Selective Service Headquarters across the street but mistakenly confused the building with the Primate Lab. The fire caused slight damages and was extinguished almost immediately.
5th row	1/6/1970: Unknown perpetrators threw a Molotov cocktail into an Army Recruiting Station in Denver, Colorado, United States. There were no casualties but damages to the station were estimated at $305.

Common Values

Value	Count	Frequency (%)
09/00/2016: Sometime between September 18, 2016 and September 24, 2016, assailants detonated an explosive device at a civilian house in Dawr, Saladin, Iraq. There were no reported casualties resulting from the blast. No group claimed responsibility for the incident; however, sources attributed the attack to the Islamic State of Iraq and the Levant (ISIL).	100	0.1%
12/01/2016: Assailants detonated explosive devices that destroyed an electricity transmission tower in Albu Bali, Al Anbar, Iraq. This was one of 80 similar attacks targeting towers that resulted in the death of two military engineering team members. No group claimed responsibility for the incidents.	80	< 0.1%
05/29/2016: Security forces discovered and defused an explosives-rigged house in Sejar, Al Anbar, Iraq. No group claimed responsibility for the incident.	50	< 0.1%
07/22/2016: Security forces discovered and defused an explosives-rigged house in Saqlawiyah, Al Anbar, Iraq. No group claimed responsibility for the incident.	36	< 0.1%
01/11/2016: Assailants set fire to a shop in Muqdadiyah, Diyala governorate, Iraq. There were no reported casualties in the incident. This was one of 36 shops set alight and one of 51 attacks in and around Muqdadiyah on the same day. No group claimed responsibility; however, sources attributed the incidents to Asa'ib Ahl al-Haqq and the Badr Brigades.	36	< 0.1%
04/21/2017: Security forces discovered and defused an explosives-rigged house in Hayy ath-Thawrah neighborhood, Mosul, Nineveh, Iraq. This was one of 34 similar events in the area on this date. No group claimed responsibility for the incident.	34	< 0.1%
06/05/2016: Security forces discovered and defused an explosives-rigged house in Rutbah, Al Anbar, Iraq. No group claimed responsibility for the incident.	30	< 0.1%
08/08/2016: Security forces discovered and defused an explosives-rigged house in Khalidiyah, Al Anbar, Iraq. No group claimed responsibility for the incident.	30	< 0.1%
10/23/2016: Security forces discovered and defused an explosives-rigged house in Dulab, Al Anbar, Iraq. No group claimed responsibility for the incident.	27	< 0.1%
07/00/2014: Sometime between July 1 and July 14, 2014, an explosive device detonated at a private residence in Azim area, Diyala governorate, Iraq. There were no reported casualties; however, the house was damaged in the blast. This was one of 27 similar attacks on private residences in this area over a two week period. No group claimed responsibility for the incident; however, sources attributed the attack the to the Islamic State of Iraq and the Levant (ISIL).	27	< 0.1%
Other values (112482)	115112	63.4%
(Missing)	66129	36.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	371608	7.2%
in	210955	4.1%
a	119415	2.3%
of	115610	2.2%
no	112561	2.2%
and	111649	2.2%
responsibility	101733	2.0%
were	99549	1.9%
claimed	98412	1.9%
for	91595	1.8%
Other values (102275)	3744666	72.3%

Most occurring characters

Value	Count	Frequency (%)
	5079510	14.7%
e	3062937	8.9%
a	2508077	7.3%
i	2381809	6.9%
t	2127993	6.2%
n	1920525	5.6%
o	1778134	5.2%
r	1645601	4.8%
s	1560402	4.5%
d	1215493	3.5%
Other values (80)	11229797	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25712078	74.5%
Space Separator	5079510	14.7%
Uppercase Letter	1375382	4.0%
Other Punctuation	1147935	3.3%
Decimal Number	1054543	3.1%
Dash Punctuation	52711	0.2%
Close Punctuation	41898	0.1%
Open Punctuation	41896	0.1%
Other Symbol	3627	< 0.1%
Currency Symbol	691	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3062937	11.9%
a	2508077	9.8%
i	2381809	9.3%
t	2127993	8.3%
n	1920525	7.5%
o	1778134	6.9%
r	1645601	6.4%
s	1560402	6.1%
d	1215493	4.7%
l	1153359	4.5%
Other values (20)	6357748	24.7%

Uppercase Letter

Value	Count	Frequency (%)
A	220453	16.0%
T	141962	10.3%
N	138757	10.1%
S	113591	8.3%
I	102201	7.4%
P	80775	5.9%
M	74065	5.4%
B	69308	5.0%
C	50066	3.6%
K	48017	3.5%
Other values (16)	336187	24.4%

Other Punctuation

Value	Count	Frequency (%)
,	392911	34.2%
.	354743	30.9%
/	233596	20.3%
:	116698	10.2%
;	31174	2.7%
'	15936	1.4%
"	2720	0.2%
&	79	< 0.1%
!	40	< 0.1%
#	18	< 0.1%
Other values (3)	20	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	318300	30.2%
1	227221	21.5%
2	210249	19.9%
3	49437	4.7%
5	48585	4.6%
4	47625	4.5%
6	42835	4.1%
7	41909	4.0%
9	36160	3.4%
8	32222	3.1%

Math Symbol

Value	Count	Frequency (%)
+	5	71.4%
~	1	14.3%
=	1	14.3%

Open Punctuation

Value	Count	Frequency (%)
(	41773	99.7%
[	123	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	41772	99.7%
]	126	0.3%

Space Separator

Value	Count	Frequency (%)
	5079510	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	52711	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	691	100.0%

Other Symbol

Value	Count	Frequency (%)
�	3627	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27087460	78.5%
Common	7422818	21.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3062937	11.3%
a	2508077	9.3%
i	2381809	8.8%
t	2127993	7.9%
n	1920525	7.1%
o	1778134	6.6%
r	1645601	6.1%
s	1560402	5.8%
d	1215493	4.5%
l	1153359	4.3%
Other values (46)	7733130	28.5%

Common

Value	Count	Frequency (%)
	5079510	68.4%
,	392911	5.3%
.	354743	4.8%
0	318300	4.3%
/	233596	3.1%
1	227221	3.1%
2	210249	2.8%
:	116698	1.6%
-	52711	0.7%
3	49437	0.7%
Other values (24)	387442	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34506641	> 99.9%
Specials	3627	< 0.1%
Latin 1 Sup	10	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5079510	14.7%
e	3062937	8.9%
a	2508077	7.3%
i	2381809	6.9%
t	2127993	6.2%
n	1920525	5.6%
o	1778134	5.2%
r	1645601	4.8%
s	1560402	4.5%
d	1215493	3.5%
Other values (75)	11226160	32.5%

Specials

Value	Count	Frequency (%)
�	3627	100.0%

Latin 1 Sup

Value	Count	Frequency (%)
ñ	3	30.0%
ó	3	30.0%
á	2	20.0%
í	2	20.0%

Group
Categorical

HIGH CARDINALITY

Distinct	3537
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	13.0 MiB

Unknown	82782
Taliban	7478
Islamic State of Iraq and the Levant (ISIL)	5613
Shining Path (SL)	4555
Farabundo Marti National Liberation Front (FMLN)	3351
Other values (3532)	77912

Length

Max length	112
Median length	7
Mean length	17.93960075
Min length	2

Characters and Unicode

Total characters	3259464
Distinct characters	74
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1711 ?
Unique (%)	0.9%

Sample

1st row	MANO-D
2nd row	23rd of September Communist League
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	82782	45.6%
Taliban	7478	4.1%
Islamic State of Iraq and the Levant (ISIL)	5613	3.1%
Shining Path (SL)	4555	2.5%
Farabundo Marti National Liberation Front (FMLN)	3351	1.8%
Al-Shabaab	3288	1.8%
New People's Army (NPA)	2772	1.5%
Irish Republican Army (IRA)	2671	1.5%
Revolutionary Armed Forces of Colombia (FARC)	2487	1.4%
Boko Haram	2418	1.3%
Other values (3527)	64276	35.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	82782	18.0%
of	19956	4.3%
liberation	12948	2.8%
the	10937	2.4%
army	10528	2.3%
islamic	9977	2.2%
front	9559	2.1%
national	9129	2.0%
and	8250	1.8%
taliban	7520	1.6%
Other values (4088)	279290	60.6%

Most occurring characters

Value	Count	Frequency (%)
n	393075	12.1%
	279191	8.6%
a	244138	7.5%
o	229005	7.0%
i	179789	5.5%
e	157318	4.8%
t	152270	4.7%
r	139909	4.3%
k	95730	2.9%
s	94275	2.9%
Other values (64)	1294764	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2283218	70.0%
Uppercase Letter	548326	16.8%
Space Separator	279191	8.6%
Open Punctuation	57645	1.8%
Close Punctuation	57645	1.8%
Dash Punctuation	20762	0.6%
Other Punctuation	9115	0.3%
Decimal Number	3555	0.1%
Other Symbol	7	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	88010	16.1%
A	52909	9.6%
I	44461	8.1%
L	43829	8.0%
P	40340	7.4%
F	39063	7.1%
S	36520	6.7%
M	31338	5.7%
N	29184	5.3%
T	27827	5.1%
Other values (16)	114845	20.9%

Lowercase Letter

Value	Count	Frequency (%)
n	393075	17.2%
a	244138	10.7%
o	229005	10.0%
i	179789	7.9%
e	157318	6.9%
t	152270	6.7%
r	139909	6.1%
k	95730	4.2%
s	94275	4.1%
l	92343	4.0%
Other values (16)	505366	22.1%

Decimal Number

Value	Count	Frequency (%)
1	1515	42.6%
9	1167	32.8%
7	321	9.0%
2	207	5.8%
3	105	3.0%
5	63	1.8%
6	61	1.7%
0	51	1.4%
8	43	1.2%
4	22	0.6%

Other Punctuation

Value	Count	Frequency (%)
'	8801	96.6%
/	149	1.6%
,	96	1.1%
.	26	0.3%
"	20	0.2%
!	13	0.1%
:	10	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	20762	100.0%

Space Separator

Value	Count	Frequency (%)
	279191	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	57645	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	57645	100.0%

Other Symbol

Value	Count	Frequency (%)
�	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2831544	86.9%
Common	427920	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	393075	13.9%
a	244138	8.6%
o	229005	8.1%
i	179789	6.3%
e	157318	5.6%
t	152270	5.4%
r	139909	4.9%
k	95730	3.4%
s	94275	3.3%
l	92343	3.3%
Other values (42)	1053692	37.2%

Common

Value	Count	Frequency (%)
	279191	65.2%
(	57645	13.5%
)	57645	13.5%
-	20762	4.9%
'	8801	2.1%
1	1515	0.4%
9	1167	0.3%
7	321	0.1%
2	207	< 0.1%
/	149	< 0.1%
Other values (12)	517	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3259457	> 99.9%
Specials	7	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	393075	12.1%
	279191	8.6%
a	244138	7.5%
o	229005	7.0%
i	179789	5.5%
e	157318	4.8%
t	152270	4.7%
r	139909	4.3%
k	95730	2.9%
s	94275	2.9%
Other values (63)	1294757	39.7%

Specials

Value	Count	Frequency (%)
�	7	100.0%

Target_type
Categorical

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.6 MiB

Private Citizens & Property	43511
Military	27984
Police	24506
Government (General)	21283
Business	20669
Other values (17)	43738

Length

Max length	30
Median length	14
Mean length	15.90251581
Min length	3

Characters and Unicode

Total characters	2889344
Distinct characters	48
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private Citizens & Property
2nd row	Government (Diplomatic)
3rd row	Journalists & Media
4th row	Government (Diplomatic)
5th row	Government (Diplomatic)

Common Values

Value	Count	Frequency (%)
Private Citizens & Property	43511	23.9%
Military	27984	15.4%
Police	24506	13.5%
Government (General)	21283	11.7%
Business	20669	11.4%
Transportation	6799	3.7%
Utilities	6023	3.3%
Unknown	5898	3.2%
Religious Figures/Institutions	4440	2.4%
Educational Institution	4322	2.4%
Other values (12)	16256	8.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	47802	13.2%
property	43511	12.0%
citizens	43511	12.0%
private	43511	12.0%
military	27984	7.7%
government	24856	6.9%
police	24506	6.8%
general	21283	5.9%
business	20669	5.7%
transportation	6799	1.9%
Other values (27)	57977	16.0%

Most occurring characters

Value	Count	Frequency (%)
i	328615	11.4%
e	297130	10.3%
t	269366	9.3%
r	243822	8.4%
n	198447	6.9%
	180718	6.3%
s	154619	5.4%
o	151502	5.2%
a	137582	4.8%
P	115260	4.0%
Other values (38)	812283	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2273846	78.7%
Uppercase Letter	326748	11.3%
Space Separator	180718	6.3%
Other Punctuation	55281	1.9%
Open Punctuation	24856	0.9%
Close Punctuation	24856	0.9%
Dash Punctuation	3039	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	328615	14.5%
e	297130	13.1%
t	269366	11.8%
r	243822	10.7%
n	198447	8.7%
s	154619	6.8%
o	151502	6.7%
a	137582	6.1%
l	105305	4.6%
y	73678	3.2%
Other values (13)	313780	13.8%

Uppercase Letter

Value	Count	Frequency (%)
P	115260	35.3%
G	47109	14.4%
C	43511	13.3%
M	34322	10.5%
B	20669	6.3%
U	11921	3.6%
T	11287	3.5%
I	8762	2.7%
F	4757	1.5%
R	4703	1.4%
Other values (9)	24447	7.5%

Other Punctuation

Value	Count	Frequency (%)
&	47802	86.5%
/	7479	13.5%

Space Separator

Value	Count	Frequency (%)
	180718	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	24856	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	24856	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3039	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2600594	90.0%
Common	288750	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	328615	12.6%
e	297130	11.4%
t	269366	10.4%
r	243822	9.4%
n	198447	7.6%
s	154619	5.9%
o	151502	5.8%
a	137582	5.3%
P	115260	4.4%
l	105305	4.0%
Other values (32)	598946	23.0%

Common

Value	Count	Frequency (%)
	180718	62.6%
&	47802	16.6%
(	24856	8.6%
)	24856	8.6%
/	7479	2.6%
-	3039	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2889344	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	328615	11.4%
e	297130	10.3%
t	269366	9.3%
r	243822	8.4%
n	198447	6.9%
	180718	6.3%
s	154619	5.4%
o	151502	5.2%
a	137582	4.8%
P	115260	4.0%
Other values (38)	812283	28.1%

Weapon_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.4 MiB

Explosives	92426
Firearms	58524
Unknown	15157
Incendiary	11135
Melee	3655
Other values (7)	794

Length

Max length	75
Median length	10
Mean length	9.053646025
Min length	5

Characters and Unicode

Total characters	1644966
Distinct characters	41
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unknown
2nd row	Unknown
3rd row	Unknown
4th row	Explosives
5th row	Incendiary

Common Values

Value	Count	Frequency (%)
Explosives	92426	50.9%
Firearms	58524	32.2%
Unknown	15157	8.3%
Incendiary	11135	6.1%
Melee	3655	2.0%
Chemical	321	0.2%
Sabotage Equipment	141	0.1%
Vehicle (not to include vehicle-borne explosives, i.e., car or truck bombs)	136	0.1%
Other	114	0.1%
Biological	35	< 0.1%
Other values (2)	47	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
explosives	92562	50.5%
firearms	58524	31.9%
unknown	15157	8.3%
incendiary	11135	6.1%
melee	3655	2.0%
chemical	321	0.2%
equipment	141	0.1%
sabotage	141	0.1%
vehicle	136	0.1%
to	136	0.1%
Other values (13)	1317	0.7%

Most occurring characters

Value	Count	Frequency (%)
s	243817	14.8%
e	175057	10.6%
i	163325	9.9%
r	128841	7.8%
o	108671	6.6%
l	97044	5.9%
p	92736	5.6%
v	92698	5.6%
E	92567	5.6%
x	92562	5.6%
Other values (31)	357648	21.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1460615	88.8%
Uppercase Letter	181865	11.1%
Space Separator	1534	0.1%
Other Punctuation	544	< 0.1%
Open Punctuation	136	< 0.1%
Dash Punctuation	136	< 0.1%
Close Punctuation	136	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	243817	16.7%
e	175057	12.0%
i	163325	11.2%
r	128841	8.8%
o	108671	7.4%
l	97044	6.6%
p	92736	6.3%
v	92698	6.3%
x	92562	6.3%
a	70527	4.8%
Other values (13)	195337	13.4%

Uppercase Letter

Value	Count	Frequency (%)
E	92567	50.9%
F	58557	32.2%
U	15157	8.3%
I	11135	6.1%
M	3655	2.0%
C	321	0.2%
S	141	0.1%
V	136	0.1%
O	114	0.1%
B	35	< 0.1%
Other values (2)	47	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
,	272	50.0%
.	272	50.0%

Space Separator

Value	Count	Frequency (%)
	1534	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	136	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	136	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1642480	99.8%
Common	2486	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	243817	14.8%
e	175057	10.7%
i	163325	9.9%
r	128841	7.8%
o	108671	6.6%
l	97044	5.9%
p	92736	5.6%
v	92698	5.6%
E	92567	5.6%
x	92562	5.6%
Other values (25)	355162	21.6%

Common

Value	Count	Frequency (%)
	1534	61.7%
,	272	10.9%
.	272	10.9%
(	136	5.5%
-	136	5.5%
)	136	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1644966	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	243817	14.8%
e	175057	10.6%
i	163325	9.9%
r	128841	7.8%
o	108671	6.6%
l	97044	5.9%
p	92736	5.6%
v	92698	5.6%
E	92567	5.6%
x	92562	5.6%
Other values (31)	357648	21.7%

Motive
Categorical

HIGH CARDINALITY
MISSING

Distinct	14490
Distinct (%)	28.7%
Missing	131130
Missing (%)	72.2%
Memory size	10.8 MiB

Unknown	14889
The specific motive for the attack is unknown.	14430
The specific motive is unknown; however, sources noted that the attack may have been part of a larger trend of violence related to Bangladesh's nationwide hartal, which began on January 6, 2015.	297
The specific motive for the attack is unknown..	148
The specific motive for the attack is unknown or was not reported.	144
Other values (14485)	20653

Length

Max length	899
Median length	46
Mean length	82.93038112
Min length	1

Characters and Unicode

Total characters	4193043
Distinct characters	82
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12579 ?
Unique (%)	24.9%

Sample

1st row	To protest the Cairo Illinois Police Deparment
2nd row	To protest the War in Vietnam and the draft
3rd row	To protest the War in Vietnam and the draft
4th row	Protest the draft and Vietnam War
5th row	To protest United States owned businesses in Puerto Rico

Common Values

Value	Count	Frequency (%)
Unknown	14889	8.2%
The specific motive for the attack is unknown.	14430	7.9%
The specific motive is unknown; however, sources noted that the attack may have been part of a larger trend of violence related to Bangladesh's nationwide hartal, which began on January 6, 2015.	297	0.2%
The specific motive for the attack is unknown..	148	0.1%
The specific motive for the attack is unknown or was not reported.	144	0.1%
The specific motive for the attack is unknown	73	< 0.1%
Part of a campaign by Islamic extremists to destabilize Algeria by weakening security forces protecting the 'apostate' Algerian government.	66	< 0.1%
The specific motive for the attack was political.	57	< 0.1%
The specific motive is unknown; however, sources suspected that the attack, which targeted members of the Sunni community, may have been part of a larger trend of sectarian violence between Iraq's minority Sunni and majority Shiite communities.	52	< 0.1%
The specific motive is unknown; however, sources noted that parliamentary elections were scheduled for January 5, 2014. Sources also noted that the opposition advocated for citizens to "resist" the elections.	50	< 0.1%
Other values (14480)	20355	11.2%
(Missing)	131130	72.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	84872	12.8%
unknown	40952	6.2%
is	27336	4.1%
motive	27291	4.1%
specific	26968	4.1%
attack	25416	3.8%
for	24764	3.7%
of	17704	2.7%
that	15996	2.4%
to	13765	2.1%
Other values (15713)	360167	54.1%

Most occurring characters

Value	Count	Frequency (%)
	615819	14.7%
e	399648	9.5%
t	339074	8.1%
i	291715	7.0%
n	278822	6.6%
a	267120	6.4%
o	252004	6.0%
s	199879	4.8%
r	173463	4.1%
c	161332	3.8%
Other values (72)	1214167	29.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3338439	79.6%
Space Separator	615819	14.7%
Uppercase Letter	134683	3.2%
Other Punctuation	78267	1.9%
Decimal Number	10834	0.3%
Dash Punctuation	5506	0.1%
Close Punctuation	4653	0.1%
Open Punctuation	4635	0.1%
Other Symbol	178	< 0.1%
Currency Symbol	28	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	34987	26.0%
U	16773	12.5%
S	12693	9.4%
A	10793	8.0%
I	9455	7.0%
P	7383	5.5%
M	7060	5.2%
L	4253	3.2%
N	4115	3.1%
C	3976	3.0%
Other values (16)	23195	17.2%

Lowercase Letter

Value	Count	Frequency (%)
e	399648	12.0%
t	339074	10.2%
i	291715	8.7%
n	278822	8.4%
a	267120	8.0%
o	252004	7.5%
s	199879	6.0%
r	173463	5.2%
c	161332	4.8%
h	152081	4.6%
Other values (16)	823301	24.7%

Other Punctuation

Value	Count	Frequency (%)
.	37066	47.4%
,	21860	27.9%
;	10576	13.5%
'	5726	7.3%
"	2754	3.5%
/	162	0.2%
:	80	0.1%
!	20	< 0.1%
?	15	< 0.1%
&	5	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	2495	23.0%
0	2462	22.7%
2	2313	21.3%
5	721	6.7%
3	692	6.4%
6	642	5.9%
4	543	5.0%
7	385	3.6%
9	301	2.8%
8	280	2.6%

Close Punctuation

Value	Count	Frequency (%)
)	4600	98.9%
]	53	1.1%

Open Punctuation

Value	Count	Frequency (%)
(	4582	98.9%
[	53	1.1%

Space Separator

Value	Count	Frequency (%)
	615819	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5506	100.0%

Other Symbol

Value	Count	Frequency (%)
�	178	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	28	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3473122	82.8%
Common	719921	17.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	399648	11.5%
t	339074	9.8%
i	291715	8.4%
n	278822	8.0%
a	267120	7.7%
o	252004	7.3%
s	199879	5.8%
r	173463	5.0%
c	161332	4.6%
h	152081	4.4%
Other values (42)	957984	27.6%

Common

Value	Count	Frequency (%)
	615819	85.5%
.	37066	5.1%
,	21860	3.0%
;	10576	1.5%
'	5726	0.8%
-	5506	0.8%
)	4600	0.6%
(	4582	0.6%
"	2754	0.4%
1	2495	0.3%
Other values (20)	8937	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4192865	> 99.9%
Specials	178	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	615819	14.7%
e	399648	9.5%
t	339074	8.1%
i	291715	7.0%
n	278822	6.6%
a	267120	6.4%
o	252004	6.0%
s	199879	4.8%
r	173463	4.1%
c	161332	3.8%
Other values (71)	1213989	29.0%

Specials

Value	Count	Frequency (%)
�	178	100.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Year	Month	Day	Country	state	Region	city	latitude	longitude	AttackType	Killed	Wounded	Target	Summary	Group	Target_type	Weapon_type	Motive
0	1970	7	2	Dominican Republic	NaN	Central America & Caribbean	Santo Domingo	18.456792	-69.951164	Assassination	1.0	0.0	Julio Guzman	NaN	MANO-D	Private Citizens & Property	Unknown	NaN
1	1970	0	0	Mexico	Federal	North America	Mexico city	19.371887	-99.086624	Hostage Taking (Kidnapping)	0.0	0.0	Nadine Chaval, daughter	NaN	23rd of September Communist League	Government (Diplomatic)	Unknown	NaN
2	1970	1	0	Philippines	Tarlac	Southeast Asia	Unknown	15.478598	120.599741	Assassination	1.0	0.0	Employee	NaN	Unknown	Journalists & Media	Unknown	NaN
3	1970	1	0	Greece	Attica	Western Europe	Athens	37.997490	23.762728	Bombing/Explosion	NaN	NaN	U.S. Embassy	NaN	Unknown	Government (Diplomatic)	Explosives	NaN
4	1970	1	0	Japan	Fukouka	East Asia	Fukouka	33.580412	130.396361	Facility/Infrastructure Attack	NaN	NaN	U.S. Consulate	NaN	Unknown	Government (Diplomatic)	Incendiary	NaN
5	1970	1	1	United States	Illinois	North America	Cairo	37.005105	-89.176269	Armed Assault	0.0	0.0	Cairo Police Headquarters	1/1/1970: Unknown African American assailants fired several bullets at police headquarters in Cairo, Illinois, United States. There were no casualties, however, one bullet narrowly missed several police officers. This attack took place during heightened racial tensions, including a Black boycott of White-owned businesses, in Cairo Illinois.	Black Nationalists	Police	Firearms	To protest the Cairo Illinois Police Deparment
6	1970	1	2	Uruguay	Montevideo	South America	Montevideo	-34.891151	-56.187214	Assassination	0.0	0.0	Juan Maria de Lucah/Chief of Directorate of info. and intell.	NaN	Tupamaros (Uruguay)	Police	Firearms	NaN
7	1970	1	2	United States	California	North America	Oakland	37.791927	-122.225906	Bombing/Explosion	0.0	0.0	Edes Substation	1/2/1970: Unknown perpetrators detonated explosives at the Pacific Gas & Electric Company Edes substation in Oakland, California, United States. Three transformers were damaged costing an estimated $20,000 to $25,000. There were no casualties.	Unknown	Utilities	Explosives	NaN
8	1970	1	2	United States	Wisconsin	North America	Madison	43.076592	-89.412488	Facility/Infrastructure Attack	0.0	0.0	R.O.T.C. offices at University of Wisconsin, Madison	1/2/1970: Karl Armstrong, a member of the New Years Gang, threw a firebomb at R.O.T.C. offices located within the Old Red Gym at the University of Wisconsin in Madison, Wisconsin, United States. There were no casualties but the fire caused around $60,000 in damages to the building.	New Year's Gang	Military	Incendiary	To protest the War in Vietnam and the draft
9	1970	1	3	United States	Wisconsin	North America	Madison	43.072950	-89.386694	Facility/Infrastructure Attack	0.0	0.0	Selective Service Headquarters in Madison Wisconsin	1/3/1970: Karl Armstrong, a member of the New Years Gang, broke into the University of Wisconsin's Primate Lab and set a fire on the first floor of the building. Armstrong intended to set fire to the Madison, Wisconsin, United States, Selective Service Headquarters across the street but mistakenly confused the building with the Primate Lab. The fire caused slight damages and was extinguished almost immediately.	New Year's Gang	Government (General)	Incendiary	To protest the War in Vietnam and the draft

Last rows

	Year	Month	Day	Country	state	Region	city	latitude	longitude	AttackType	Killed	Wounded	Target	Summary	Group	Target_type	Weapon_type	Motive
181681	2017	12	31	Philippines	Maguindanao	Southeast Asia	Shariff Aguak	6.862806	124.443649	Bombing/Explosion	1.0	5.0	Patrol	12/31/2017: A roadside bomb detonated targeting a police vehicle in Poblacion Mother, Tuayan, Shariff Aguak, Maguindanao, Philippines. A police officer was killed and five others were injured in the blast. No group claimed responsibility for the incident; however, sources attributed the attack to the Bangsamoro Islamic Freedom Movement (BIFM).	Bangsamoro Islamic Freedom Movement (BIFM)	Police	Explosives	NaN
181682	2017	12	31	Italy	Marche	Western Europe	Spinetoli	42.888982	13.772795	Facility/Infrastructure Attack	0.0	0.0	Migrant Center	12/31/2017: Assailants set fire to a migrants' center in Spinetoli, Marche, Italy. There were no reported casualties. No group claimed responsibility for the incident.	Unknown	Private Citizens & Property	Incendiary	The specific motive is unknown; however, sources noted that the targeted building housed migrants.
181683	2017	12	31	Afghanistan	Faryab	South Asia	Kohistan district	35.315467	64.815508	Armed Assault	6.0	0.0	House of Member	12/31/2017: Assailants attacked the house of a public uprising member in Kohistan district, Faryab, Afghanistan. Six relatives of the uprising member were killed in the attack. No group claimed responsibility for the incident; however, sources attributed the attack to the Taliban.	Taliban	Terrorists/Non-State Militia	Firearms	The specific motive is unknown; however, sources stated that the Taliban had warned one of the victims against collaborating with the government.
181684	2017	12	31	India	Assam	South Asia	Hungrum	25.180162	93.015788	Hostage Taking (Kidnapping)	0.0	0.0	Personal Security Officer of Council Member Ihuing Pame: Prafulla Phukan	12/31/2017: Assailants abducted Prafulla Phukan, a personal security officer (PSO), from Hungrum, Assam, India. Phukan was rescued by security forces the following morning. No group claimed responsibility for the incident; however, sources attributed the attack to the Zeliangrong United Front.	Zeliangrong United Front	Government (General)	Firearms	NaN
181685	2017	12	31	Afghanistan	Faryab	South Asia	Maymana	35.921051	64.774544	Bombing/Explosion	0.0	4.0	Jewelry Shop	12/31/2017: An explosive device detonated at a jewelry shop in Maymana, Faryab, Afghanistan. Four people were injured in the blast. No group claimed responsibility for the incident.	Unknown	Business	Explosives	NaN
181686	2017	12	31	Somalia	Middle Shebelle	Sub-Saharan Africa	Ceelka Geelow	2.359673	45.385034	Armed Assault	1.0	2.0	Checkpoint	12/31/2017: Assailants opened fire on a Somali National Army (SNA) checkpoint in Ceelka Geelow, Middle Shebelle, Somalia. At least one soldier was killed and two soldiers were injured in the ensuing clash. Al-Shabaab claimed responsibility for the attack.	Al-Shabaab	Military	Firearms	NaN
181687	2017	12	31	Syria	Lattakia	Middle East & North Africa	Jableh	35.407278	35.942679	Bombing/Explosion	2.0	7.0	Hmeymim Air Base	12/31/2017: Assailants launched mortars at the Hmeymim Air Base in Jableh, Lattakia, Syria. Two Russian soldiers were killed and ten people were injured in the attack. No group claimed responsibility for the incident; however, sources attributed the attack to Muslim extremists.	Muslim extremists	Military	Explosives	NaN
181688	2017	12	31	Philippines	Maguindanao	Southeast Asia	Kubentog	6.900742	124.437908	Facility/Infrastructure Attack	0.0	0.0	Houses	12/31/2017: Assailants set fire to houses in Kubentog, Datu Hoffer, Maguindanao, Philippines. There were no reported casualties in the attack. No group claimed responsibility for the incident; however, sources attributed the attack to the Bangsamoro Islamic Freedom Movement (BIFM).	Bangsamoro Islamic Freedom Movement (BIFM)	Private Citizens & Property	Incendiary	NaN
181689	2017	12	31	India	Manipur	South Asia	Imphal	24.798346	93.940430	Bombing/Explosion	0.0	0.0	Office	12/31/2017: Assailants threw a grenade at a Forest Department office in Mantripukhri neighborhood, Imphal, Manipur, India. No casualties were reported in the blast. No group claimed responsibility for the incident.	Unknown	Government (General)	Explosives	NaN
181690	2017	12	31	Philippines	Maguindanao	Southeast Asia	Cotabato City	7.209594	124.241966	Bombing/Explosion	0.0	0.0	Unknown	12/31/2017: An explosive device was discovered and defused at a plaza in Cotabato City, Maguindanao, Philippines. No group claimed responsibility for the incident.	Unknown	Unknown	Explosives	NaN

Most frequently occurring

	Year	Month	Day	Country	state	Region	city	latitude	longitude	AttackType	Target	Summary	Group	Target_type	Weapon_type	Motive	# duplicates
191	2016	1	11	Iraq	Diyala	Middle East & North Africa	Muqdadiyah	33.953167	44.921906	Facility/Infrastructure Attack	Shop	01/11/2016: Assailants set fire to a shop in Muqdadiyah, Diyala governorate, Iraq. There were no reported casualties in the incident. This was one of 36 shops set alight and one of 51 attacks in and around Muqdadiyah on the same day. No group claimed responsibility; however, sources attributed the incidents to Asa'ib Ahl al-Haqq and the Badr Brigades.	Asa'ib Ahl al-Haqq	Business	Incendiary	The specific motive is unknown; however, sources suspected that the attack, which targeted members of the Sunni community, may have been part of a larger trend of sectarian violence between Iraq's minority Sunni and majority Shiite communities.	36
93	2012	5	11	France	Corsica	Western Europe	Unknown	41.918891	8.737554	Bombing/Explosion	Vacation Homes of Foreigners	05/11/2012: Assailants detonated an explosive device in a holiday home in Corsica region, France. This was one of 26 attacks on vacation homes throughout the island on May 11, 2012. The Corsican National Liberation Front (FLNC) claimed responsibility for the incidents, stating they carried out the attack to fight property speculation.	Corsican National Liberation Front (FLNC)	Private Citizens & Property	Explosives	The specific motive is unknown; however, a source noted that the Corsican National Liberation Front (FLNC) had claimed to be fighting land development, which it views as a threat to the Corsican people. The group frequently targets properties belonging to foreigners and mainland French citizens.	25
109	2012	12	8	France	Corsica	Western Europe	Unknown	41.918891	8.737554	Bombing/Explosion	Vacation Homes	12/08/2012: Assailants detonated an explosive device at an under-construction vacation home in Corsica region, France. This was one of 24 similar attacks on the same night. There were no reported casualties; however, 26 houses were destroyed in the blasts. The Corsican National Liberation Front (FLNC) claimed responsibility for the incident by writing the group name on the walls of one of the targeted houses.	Corsican National Liberation Front (FLNC)	Private Citizens & Property	Explosives	The specific motive is unknown; however, sources noted that the Corsican National Liberation Front (FLNC) has previously targeted holiday homes, claiming that these structures are driving up housing prices and destroying the coastline. Moreover, sources speculated that Corsican nationalism may have been a motivation, noting that the targeted homes belonged to non-Corsicans and that the bombings occurred just before Corsica's National Identity Day.	24
154	2014	6	14	Afghanistan	Nangarhar	South Asia	Unknown	34.171831	70.621679	Facility/Infrastructure Attack	Polling Station	06/14/2014: Assailants attacked a polling station in Nangarhar province, Afghanistan. There were no reported casualties in the attack. This was one of 19 attacks on polling stations in Nangarhar province on June 14, 2014. No group claimed responsibility for the incident.	Unknown	Government (General)	Unknown	The specific motive is unknown; however, sources noted that the attack on the polling station was meant to disrupt the run-off elections occurring on June 14, 2014.	18
126	2013	10	9	Iraq	Kirkuk	Middle East & North Africa	Hawijah district	35.323789	43.772096	Bombing/Explosion	House of Officer	10/09/2013: Assailants detonated at least one explosive device at the home of a police officer in Hawijah district, Kirkuk, Iraq. This was one of eighteen bombings that occurred at the homes of security personnel in one of three villages in Kirkuk on this day. There were no reported casualties resulting from the attacks, although the buildings were damaged. No group claimed responsibility; however, sources suspect that Islamic State of Iraq and the Levant (ISIL) was behind the incident.	Islamic State of Iraq and the Levant (ISIL)	Police	Explosives	The specific motive is unknown; however, sources noted that the affected areas had witnessed a sharp increase in attacks on houses belonging to the army and police forces after Al-Qa ida distributed leaflets calling for security forces to leave their jobs or their homes will be blown up.	17
57	2008	7	29	India	Gujarat	South Asia	Surat	21.220496	72.831058	Bombing/Explosion	Civilians were the target in the attack.	07/29/2008: On Tuesday, a bomb was placed in the Katargam area in Surat, but police found and defused it before it detonated. No casualties were reported. No claim of responsibility has been reported.	Unknown	Private Citizens & Property	Explosives	The specific motive for the attack is unknown.	13
94	2012	6	9	India	Odisha	South Asia	Unknown	20.237556	84.270018	Facility/Infrastructure Attack	Tendu Leaf Warehouse	06/09/2012: Assailants set fire to a government-run tendu leaf warehouse in Odisha state, India. There were no reported injuries in the incident, although the warehouse was damaged. This was one of 13 similar attacks on warehouses in a 24-hour period in Singhbahali, Bharuamunda and Badtia villages, located in Balangir and Nuapada districts. Communist Party of India: Maoist (CPI-M) claimed responsibility for the incident; they left behind pamphlets listing eight demands, including a raise in the price of kendu leaves and higher compensation for leaf harvesters.	Communist Party of India - Maoist (CPI-Maoist)	Government (General)	Incendiary	Maoists left behind pamphlets listing eight demands of the government, including a raise in the price of kendu leaves and higher compensation for leaf harvesters.	13
32	2003	1	1	Colombia	Putumayo	South America	Puerto Colon	0.280373	-76.926854	Bombing/Explosion	Trans-Andean Pipeline between the villages of Puerto Colon and San Miguel, and in the Balestra region	01/01/2003: Guerrillas of the 48th Front of the Fuerzas Armadas Revolucionarias de Colombia (FARC) were accused of planting eleven explosive charges on the Trans-Andean Pipeline between the villages of Puerto Colon and San Miguel, and in the Balestra region. The explosions resulted in the pipeline being shut down while technicians of the Colombian Petroleum Enterprise (Ecopetrol) replaced the damaged pipes.	Revolutionary Armed Forces of Colombia (FARC)	Utilities	Explosives	Unknown	11
178	2015	7	12	Libya	Sirte	Middle East & North Africa	Sirte	31.197586	16.586681	Bombing/Explosion	House of Member	07/12/2015: Assailants destroyed a politician's house in Sirte city, Sirte district, Libya. There were no reported casualties in the blast. This was one of 12 similar attacks targeting politicians' houses in Sirte. The Tripoli Province of the Islamic State claimed responsibility for the incidents.	Tripoli Province of the Islamic State	Private Citizens & Property	Explosives	The specific motive is unknown; however, sources posited that the victim's house was targeted because the victim did not support the Tripoli Province of the Islamic State.	11
158	2014	7	11	Iraq	Nineveh	Middle East & North Africa	Hammam al-Alil	36.158558	43.255100	Bombing/Explosion	House of Officer	07/11/2014: An explosive device detonated at the residence of a police officer in Hammam al-Alil area, Nineveh governorate, Iraq. This was one of 10 similar attacks on the residences of police officers in this area on July 11, 2014. There were no reported casualties; however, the house was damaged in the blast. No group claimed responsibility for the incident; however, sources attributed the attack to the Islamic State of Iraq and the Levant (ISIL).	Islamic State of Iraq and the Levant (ISIL)	Police	Explosives	The specific motive is unknown; however, sources posited that the Islamic State of Iraq and the Levant (ISIL) carried out the attack in order to punish the police officer for refusing to pledge allegiance to ISIL.	10

Overview

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Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

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Most frequent character per script

Latin

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Most frequent character per block

ASCII

Common Values

Length

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Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Other Symbol

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Specials

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Other Symbol

Open Punctuation

Close Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks